O-RAN Performance Analyzer: Platform Design, Development, and Deployment

The open radio access network (O-RAN) represents a paradigm shift in RAN architecture, integrating intelligence into communication networks via xApps — control applications for managing RAN resources. This integration facilitates the adoption of AI for network optimization and resource management. However, there is a notable gap in practical network performance analyzers capable of assessing the functionality and efficiency of xApps in near real-time within operational networks. Addressing this gap, this article introduces a comprehensive network performance analyzer, tailored for the near-real time RAN intelligent controller. We present the design, development, and application scenarios for this testing framework, including its components, software, and tools, providing an end-to-end solution for evaluating the performance of xApps in O-RAN environments.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-09-27
DOI
https://doi.org/10.1109/mcom.002.2300822
Citations
3
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.55
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O-RAN Performance Analyzer: Platform Design, Development, and Deployment

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3 citations
IEEE Communications Magazine
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article

O-RAN Performance Analyzer: Platform Design, Development, and Deployment

Mohammadreza Kouchaki, Minglong Zhang, Seyed Bagher Hashemi Natanzi, Bo Tang, Vuk Marojevic
article en
3 citations

Abstract

The open radio access network (O-RAN) represents a paradigm shift in RAN architecture, integrating intelligence into communication networks via xApps — control applications for managing RAN resources. This integration facilitates the adoption of AI for network optimization and resource management. However, there is a notable gap in practical network performance analyzers capable of assessing the functionality and efficiency of xApps in near real-time within operational networks. Addressing this gap, this article introduces a comprehensive network performance analyzer, tailored for the near-real time RAN intelligent controller. We present the design, development, and application scenarios for this testing framework, including its components, software, and tools, providing an end-to-end solution for evaluating the performance of xApps in O-RAN environments.

IEEE Communications MagazineVol. 63(2)
Worcester Polytechnic Institute (US), Mississippi State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Wireless Body Area Networks
0.55
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